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COUPLED RANK-(Lm, Ln, ∙) BLOCK TERM DECOMPOSITION BY COUPLED BLOCK SIMULTANEOUS GENERALIZED SCHUR DECOMPOSITION

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Citation Author(s):
Xiao-Feng Gong, Qiu-Hua Lin, Otto Debals, Nico Vervliet, Lieven De Lathauwer
Submitted by:
Xiao-Feng Gong
Last updated:
22 March 2016 - 3:28am
Document Type:
Poster
Document Year:
2016
Event:
Presenters:
Gong Xiao Feng
Paper Code:
MLSP-P4.10
 

Coupled decompositions of multiple tensors are fundamental tools for multi-set data fusion. In this paper, we introduce a coupled version of the rank-(Lm, Ln, ·) block term decomposition (BTD), applicable to joint independent
subspace analysis. We propose two algorithms for its computation based on a coupled block simultaneous generalized Schur decomposition scheme. Numerical results are given to show the performance of the proposed algorithms.

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